Difference between revisions of "031 Review Part 1, Problem 2"
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|which is diagonalizable. | |which is diagonalizable. | ||
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− | |Since <math style="vertical-align: 0px">A</math> is a | + | |Since <math style="vertical-align: 0px">A</math> is a triangular matrix, the eigenvalues of <math style="vertical-align: 0px">A</math> are the entries on the diagonal. |
|- | |- | ||
|Therefore, the only eigenvalue of <math style="vertical-align: 0px">A</math> is <math style="vertical-align: -1px">0.</math> Additionally, there is only one linearly independent eigenvector. | |Therefore, the only eigenvalue of <math style="vertical-align: 0px">A</math> is <math style="vertical-align: -1px">0.</math> Additionally, there is only one linearly independent eigenvector. |
Latest revision as of 12:17, 15 October 2017
True or false: If a matrix is diagonalizable, then the matrix must be diagonalizable as well.
Solution: |
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Let |
First, notice that |
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which is diagonalizable. |
Since is a triangular matrix, the eigenvalues of are the entries on the diagonal. |
Therefore, the only eigenvalue of is Additionally, there is only one linearly independent eigenvector. |
Hence, is not diagonalizable and the statement is false. |
Final Answer: |
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FALSE |